{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5FZGL56EO5DNOXTERB4NVKVPQX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7d9d33a44a19f25f383d30cf050411c47962cadf3273aefb48114c99bb2601e1","cross_cats_sorted":["cs.AI","cs.CL","cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T13:03:26Z","title_canon_sha256":"b9ae7cf3f87a7a6c369115e249c501fdd7f5dc7ebbf7df0999ea6648f3200919"},"schema_version":"1.0","source":{"id":"2405.14522","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14522","created_at":"2026-07-05T11:07:57Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14522v2","created_at":"2026-07-05T11:07:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14522","created_at":"2026-07-05T11:07:57Z"},{"alias_kind":"pith_short_12","alias_value":"5FZGL56EO5DN","created_at":"2026-07-05T11:07:57Z"},{"alias_kind":"pith_short_16","alias_value":"5FZGL56EO5DNOXTE","created_at":"2026-07-05T11:07:57Z"},{"alias_kind":"pith_short_8","alias_value":"5FZGL56E","created_at":"2026-07-05T11:07:57Z"}],"graph_snapshots":[{"event_id":"sha256:72097f435eadda4214ea49a0c2fa0307fd76eb95a20f5c4f35d96b769e1e110b","target":"graph","created_at":"2026-07-05T11:07:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2405.14522/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Techniques that explain the predictions of black-box machine learning models are crucial to make the models transparent, thereby increasing trust in AI systems. The input features to the models often have a nested structure that consists of high- and low-level features, and each high-level feature is decomposed into multiple low-level features. For such inputs, both high-level feature attributions (HiFAs) and low-level feature attributions (LoFAs) are important for better understanding the model's decision. In this paper, we propose a model-agnostic local explanation method that effectively ex","authors_text":"Masanari Kimura, Ryotaro Shimizu, Yuki Saito, Yuya Yoshikawa","cross_cats":["cs.AI","cs.CL","cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T13:03:26Z","title":"Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14522","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3e893b1376fbf9f2f064dc78fd6209081d5a0c41ee8c7053fd0d2fb7af394c4a","target":"record","created_at":"2026-07-05T11:07:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7d9d33a44a19f25f383d30cf050411c47962cadf3273aefb48114c99bb2601e1","cross_cats_sorted":["cs.AI","cs.CL","cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T13:03:26Z","title_canon_sha256":"b9ae7cf3f87a7a6c369115e249c501fdd7f5dc7ebbf7df0999ea6648f3200919"},"schema_version":"1.0","source":{"id":"2405.14522","kind":"arxiv","version":2}},"canonical_sha256":"e97265f7c47746d75e648878daaaaf85cf2f217d1468e4f11fcb9434a83c6946","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e97265f7c47746d75e648878daaaaf85cf2f217d1468e4f11fcb9434a83c6946","first_computed_at":"2026-07-05T11:07:57.606720Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:57.606720Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hCRoNdkTL6DuT+0cMX6sIQMMzSz0cCVFxa7FUbtIJSruIWnaIaDSsV4I+3yMRbW6fgo++ogzoRWuNyUEY32LAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:57.607230Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14522","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e893b1376fbf9f2f064dc78fd6209081d5a0c41ee8c7053fd0d2fb7af394c4a","sha256:72097f435eadda4214ea49a0c2fa0307fd76eb95a20f5c4f35d96b769e1e110b"],"state_sha256":"ae4b4c4c98083cf5c0fafd35b8357e54621b41e5e4fe80bc039eb449f9fed68f"}